TMA4268 Statistical Learning (V2019)

Lecturer(s): Mette Langaas (coordinator), Thiago Martins (NTNU/AIAscience) and Andreas Strand (NTNU)

Teaching Assistants: Andreas Strand (head TA) and Michail Spitieris.

In this course we will use Blackboard for all course information and for handing in compulsory exercises (two in total). The Bb pages are open to all - not restricted to students enrolled (except for handing in compulsory exercises). Go directly to TMA4268 on Bb

All learning material used in 2019 will also be presented here: https://www.math.ntnu.no/emner/TMA4268/2019v/TMA4268overview.html.

Recommended previous knowledge:

• The course is based on TMA4240/4245 Statistics, or equivalent.
• Good knowledge of matrix algebra and understanding of optimization.
• Good understanding of programming - strong emphasis on R programming (you will learn R in this course).

Some of the topics given in this course will be elaborated more upon in the PhD course MA8701 General statistical models, which will run in the spring semester of 2019. However, for the MA8701 course there is a requirement that you have taken TMA4267, TMA4295, TMA4300 and TMA4315. https://wiki.math.ntnu.no/ma8701/2019v